Stijn Vansteelandt

According to our database, Stijn Vansteelandt authored at least 7 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Causal machine learning for heterogeneous treatment effects in the presence of missing outcome data.

Matthew Pryce, Karla Diaz-Ordaz, Ruth H. Keogh, Stijn Vansteelandt

CoRR, 2024

Debiasing Synthetic Data Generated by Deep Generative Models.

Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Johan Decruyenaere, Christiaan Polet, Thomas Demeester, Stijn Vansteelandt

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Synthetic Data: Can We Trust Statistical Estimators?

Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere, Stijn Vansteelandt, Thomas Demeester

CoRR, 2023

2021

Challenges in systematic reviews and meta-analyses of mediation analyses.

Tat-Thang Vo, Stijn Vansteelandt

CoRR, 2021

2018

Small sample inference for probabilistic index models.

Gustavo Amorim, Olivier Thas, Karel Vermeulen, Stijn Vansteelandt, Jan De Neve

Comput. Stat. Data Anal., 2018

2013

Make the most of your samples: Bayes factor estimators for high-dimensional models of sequence evolution.

Guy Baele, Philippe Lemey, Stijn Vansteelandt

BMC Bioinform., 2013

2008

Support vector machine versus logistic regression modeling for prediction of hospital mortality in critically ill patients with haematological malignancies.

Thierry Verplancke, Stijn Van Looy, Dominique Benoit, Stijn Vansteelandt, Pieter Depuydt, Filip De Turck, Johan Decruyenaere

BMC Medical Informatics Decis. Mak., 2008